Quantitative Ethnography and Epistemic Network Analysis

Abstract

In this talk, Brendan Eagan looks at the transformation of the social sciences in the age of Big Data through the lens of Quantitative Ethnography, an approach to analyzing human behaviour that integrates data-mining, discourse analysis, social interactionism, cognition, learning science, statistics, and ethnography to produce new and innovative ways of thinking that go beyond the old dichotomy of qualitative and quantitative methods and past simple mixtures of methods in thinking about data and data analysis.

Furthermore, he introduces the participants to the basics of the Epistemic Network Analysis (ENA) a flagship method in the growing field of Quantitative Ethnography. 

Said about Quantitative Ethnography

"Those interested in teaching, learning, meaning-making, culture, social interaction, and human development will find here the first shot in a real revolution."

James Paul Gee
Mary Lou Fulton Presidential Professor of Literacy Studies
Arizona State University

"This [approach] manages to achieve the impossible: integrating ethnographic and statistical methodologies without compromising the integrity of either."

Adam Lefstein
Associate Professor of Education
Ben Gurion University of the Negev

About Brendan Eagan

Brendan EaganDr. Brendan Eagan is Associate Director for Partnerships and Community Engagement in the Epistemic Analytics lab at the University of Wisconsin - Madison.

He earned his PhD and M.S. in Learning Sciences from UW-Madison, and B.A. in Mathematics and Asian Studies from St. Olaf College. His work currently focuses on quantitative ethnography, the learning sciences, and learning analytics. He’s passionate about growing the Quantitative Ethnography (QE) community and is actively involved in the International Society for Quantitative Ethnography (ISQE).

Dr. Eagan is an instructor in the Educational Psychology department at UW-Madison.

Event and sign up

Sign up by emailing Morten Misfeldt (misfeldt@ind.ku.dk).

The event will be at the Niels Bohr Building, Rådmandsgade 64, 2200 Copenhagen N. Room 0H154 (ground floor).